writing-claude-directives

name	writing-claude-directives
description	Use when writing instructions that guide an agent: skills, CLAUDE.md/AGENTS.md files, system prompts, agent prompts. Covers token efficiency, discovery, compliance, and the small repertoire of patterns that earn their keep.

Writing Claude Directives

Directives are instructions someone (a future you, a teammate's agent, a subagent) loads when they're working on something. Good directives say only what the reader doesn't already know, in a shape that's easy to find and act on.

Pair this with prompt-security-hardening when the directive touches secrets, shell commands, or credential flows — unsafe patterns in directives propagate to the code agents write next.

Principles

The reader is competent. Skip the basics. A line that doesn't change behavior costs tokens without paying for them. Challenge each line: what would change if I deleted this?

Say what to do, not what not to do. "Don't create duplicate files" primes the reader to think about creating duplicate files. "Update existing files in place" points at the right move. Negative framing has its place (genuine traps, hard prohibitions), but the default is positive.

Explain why once. A motivation sentence generalizes — the reader can extrapolate to cases the rule didn't anticipate. "Run tests before commit because untested commits break CI for the team" beats a bare "run tests before commit." Don't repeat the why every time the rule applies; once is enough.

Honest vagueness over fake precision. Precise-looking claims (versions, dates, counts, authorship) not grounded in primary evidence rot and propagate — downstream agents cite them without re-verifying. See writing-claude-md-files for the doc-level treatment.

Placement matters. First and last lines of a prompt get the most attention (a primacy/recency heuristic). Put critical constraints at the boundaries. For skills there's also a hard mechanism: on compaction Claude Code keeps roughly the first 5,000 tokens of an invoked skill — content past that can vanish mid-session, so front-load anything load-bearing.

~150 instructions is a soft ceiling. (Community-measured heuristic, not an official limit.) Past that, all rules get fuzzier — not just the new ones. If you're adding rule 151, prune one first.

Repeat genuinely critical rules with different framings. Once for the top, once where it's relevant in flow, once in a checklist if there is one. The bar for repetition is "the cost of getting this wrong is high."

Token economy

Rough targets:

• Frequently-loaded directives (always-on AGENTS.md additions): under ~200 words.
• Skills: official cap is a 500-line SKILL.md body; house preference is a main file under ~150 with the rest in on-demand reference files.
• CLAUDE.md files: official guidance targets under ~200 lines per file.
• Reference --help instead of documenting every flag.
• Cross-link sibling skills instead of inlining their content.

Use progressive disclosure: the main file is overview + structure + links; companion files (reference.md, examples.md) load on demand when the agent needs the depth.

Discovery (especially for skills)

The description field is what the agent searches against when deciding whether to load the skill. Treat it like a search query the user would type.

Format:

description: "Use when <symptom or trigger>, <symptom>, or <symptom> — <what the skill does, third person>"

Third person matters: the description is injected into the system prompt as if the harness is describing the skill, not as if the skill is talking to the user.

Bad:

description: I help with async testing

Good:

description: "Use when tests have race conditions, timing dependencies, or arbitrary sleeps — replaces timeouts with condition polling."

Include the words the agent would actually search for: error messages, tool names, symptoms. If a skill is about flaky tests, "flaky" should appear in the description.

Compliance techniques

Most current models follow clear instructions readily. Lead with context and motivation; reserve emphatic language for the small set of genuinely critical rules.

Primary lever — context and motivation:

Run tests before committing. Untested commits break CI for the team and
block other developers from merging.

A motivated rule is a rule the reader can apply to cases you didn't list.

Secondary lever — structure:

Pattern	Effect
Numbered steps	Compliance becomes "do step N", not "remember to do X"
Checklists	Catches the step that gets skipped under time pressure
Explicit branches	"If X, do Y instead" beats "consider doing Y"
Worked example	One concrete trace beats abstract description

Zero-th lever — tooling and environment. Before writing a directive, ask whether tooling or environment can prevent the trap entirely. PAGER=cat, a wrapper script, a pre-commit hook, a stricter type — these don't depend on the agent reading or remembering anything. A directive is the second-best fix when the failure can't be prevented at the source.

When to escalate to imperatives. Bold or all-caps when there's a real trap with a costly failure mode and no clean tooling fix (e.g. "NEVER run jj squash without -m" — bare squash hangs on an editor). Keep this register rare so it keeps its weight.

Structure patterns that earn their keep

XML for multi-part prompts. Models parse <task>, <constraints>, <examples> cleanly. Useful when you're constructing a prompt for a subagent and want the parts visually separated.

<task>What to accomplish</task>
<constraints>Hard requirements</constraints>
<output_format>Expected structure</output_format>

Match prompt style to desired output. Markdown in the prompt nudges markdown out. Plain prose in the prompt nudges plain prose out. If you want JSON back, show JSON in the prompt.

Workflow blocks for multi-step tasks. Numbered list, optional checklist, verification gates between steps:

1. Analyze inputs
2. Generate plan
3. Validate plan against [constraint]
4. Execute
5. Verify output

Feedback loops for self-correcting tasks. "Run validator → fix errors → re-run → only proceed when clean" is more reliable than "be careful."

Specificity vs. freedom

Match the directive's tightness to the cost of getting the thing wrong:

Risk profile	How tight	Example
Fragile, irreversible	Exact script, no improvisation	"Run this exact command, in this order"
Preferred pattern	Template with parameters	"Use this shape, fill in the specifics"
Context-dependent	Principles + heuristics	"Optimize for X; here's how to think about it"

Tight directives constrain; loose directives empower. Both are right answers for different situations.

Naming

For skills:

• Lowercase, hyphenated.
• Gerund-form for techniques: writing-skills, testing-skills-with-subagents.
• Action or insight, not a category: condition-based-waiting, not async-helpers.

For CLAUDE.md / AGENTS.md sections, use ## Title Case headings the agent can grep for.

Overengineering nudge

If the directive is for an agent that tends to overbuild, add one paragraph near the top:

Make only the changes that are directly requested or clearly necessary. A
bug fix doesn't need a surrounding refactor. A simple feature doesn't need
extra configurability. Trust framework guarantees and validate at system
boundaries; don't validate against scenarios that can't happen.

This is more useful than scattering "don't overengineer" reminders through the rest of the directive.

Common mistakes

Mistake	Fix
Padding obvious context the agent has	Cut it. The agent reads quickly and gets bored fast.
Multiple valid approaches with no default	Pick one default; mention the escape hatch for edge cases.
Vague triggers in description	Use the specific symptoms / errors a user would search for.
Deeply nested cross-references	Keep one level deep from the main file.
Aggressive imperatives everywhere	Reserve emphasis for genuine traps.

Verifying

For directives that change behavior under pressure, test before deploying — see testing-skills-with-subagents. For pure reference directives, the test is simpler: read it back as if you hadn't written it and check whether the answer to "what should I do?" is unambiguous.